Investigating differential effects of interventions to prevent obesity in children and young people: a novel analytic framework
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.A new framework helps identify key features of childhood obesity prevention programs. This analysis of 255 interventions in children aged 5-18 years reveals factors influencing program effectiveness.
Area Of Science
- Public Health
- Childhood Obesity Prevention
- Intervention Science
Background
- Systematic reviews show modest benefits from interventions targeting diet and activity in children (5-18 years).
- Intervention effectiveness varies, potentially due to characteristics like enjoyment or behavior change mechanisms.
- A need exists for a framework to analyze these differential effects.
Purpose Of The Study
- To develop a novel analytic framework for identifying key characteristics of childhood obesity prevention interventions.
- To involve stakeholders, including children, parents, and teachers, in framework development.
- To present the finalized framework and results of coding interventions.
Main Methods
- Literature review to identify potential intervention characteristics.
- Development of a logic model and a comprehensive list of characteristics.
- Workshops with children, parents, teachers, and public health professionals to refine characteristics into a coding scheme.
- Coding of 255 interventions from 210 randomized trials using the finalized framework.
Main Results
- The finalized analytic framework includes 12 characteristics and 25 questions.
- Characteristics cover setting, delivery mode, target (diet/activity), complexity, intensity, flexibility, choice, mechanism of action, resonance, commercial involvement, and 'fun factor'.
- 255 interventions were coded, providing data for analysis.
Conclusions
- An evidence-based analytic framework, refined through stakeholder consultation (including children), was developed and applied to 255 childhood obesity prevention interventions.
- Rigorous methods and child involvement enhance the validity of the framework and coding results.
- The framework facilitates understanding of factors influencing intervention effectiveness in preventing childhood obesity.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
Related Concept Videos
The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
Selection Bias: This occurs when the study population is not...
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...